Context-Stratified Mendelian Randomization: Exploiting Regional Exposure Variation to Explore Causal Effect Heterogeneity and Nonlinearity.

Abstract excerpt

Mendelian randomization (MR) uses genetic variants as instrumental variables (IVs) to make causal claims. Standard MR approaches typically report a single population-averaged estimate, limiting their ability to explore effect heterogeneity or nonlinear dose-response relationships. Existing stratification methods, such as residual-based and doubly-ranked stratified MR, attempt to overcome this but rely on strong...

Topics

• Mendelian Randomization Analysis
• Humans
• Computer Simulation
• Nonlinear Dynamics
• Coronary Artery Disease
• Causality